Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.
Strategy accelerates the best algorithmic solvers for large sets of cities.
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.
Summit features the latest research of women and other underrepresented genders in MIT EECS, along with an opportunity to network, share experiences, and learn.
New technique applied to small computer chips enables efficient vision and detection algorithms without internet connectivity.
A new “common-sense” approach to computer vision enables artificial intelligence that interprets scenes more accurately than other systems do.
MIT-IBM Watson AI Lab researchers aim to design concrete mixtures that use AI to shrink environmental footprint and cost, while recycling byproducts and increasing performance.
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.
Chandrakasan honored for his “contributions to ultralow-power circuits and systems, and leadership in academia and advancing diversity in the profession.”
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
Electrical engineer and Stanford University professor discusses how computer software can support advanced designs and new functionalities.
Sihao Huang, William Kuhl, Tingyu Li, Giramnah Peña-Alcántara, Sreya Vangara, and Kelly Wu will pursue graduate studies in global affairs at Tsinghua University in Beijing.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
Senior Max Williamson uses his background in computer science to tackle public policy issues in his home state and on a global scale.
Professor Daniel Jackson explores conceptual clarity and a new theory of software design in his book “The Essence of Software.”